:orphan:

Example gallery
===============

A couple of examples to illustrate different implementation
of dot product (see also :epkg:`sphinx-gallery`).









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    <div class="sphx-glr-thumbnails">


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    <div class="sphx-glr-thumbcontainer" tooltip="pyinstrument is a profiler for python functions. It tells how long the program stays in every f...">

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  .. image:: /auto_examples/images/thumb/sphx_glr_plot_profile_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_plot_profile.py`

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      <div class="sphx-glr-thumbnail-title">Profile a function</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="Uses processes to parallelize a dot product is not a very solution because processes do not sha...">

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  .. image:: /auto_examples/images/thumb/sphx_glr_plot_long_parallel_process_joblib_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_plot_long_parallel_process_joblib.py`

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      <div class="sphx-glr-thumbnail-title">Parallelization of a dot product with processes (joblib)</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="numpy has a very fast implementation of matrix multiplication. There are many ways to be slower...">

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  .. image:: /auto_examples/images/thumb/sphx_glr_plot_benchmark_dot_mul_timeit_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_plot_benchmark_dot_mul_timeit.py`

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      <div class="sphx-glr-thumbnail-title">Compares matrix multiplication implementations with timeit</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="The matrix multiplication m1 @ m2 @ m3 can be done in two different ways: (m1 @ m2) @ m3 or m1 ...">

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  .. image:: /auto_examples/images/thumb/sphx_glr_plot_benchmark_associative_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_plot_benchmark_associative.py`

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      <div class="sphx-glr-thumbnail-title">Associativity and matrix multiplication</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="numpy has a very fast implementation of the dot product. It is difficult to be better and very ...">

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  .. image:: /auto_examples/images/thumb/sphx_glr_plot_benchmark_dot_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_plot_benchmark_dot.py`

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      <div class="sphx-glr-thumbnail-title">Compares dot implementations (numpy, python, blas)</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="Uses processes to parallelize a dot product is not a very solution because processes do not sha...">

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  .. image:: /auto_examples/images/thumb/sphx_glr_plot_parallel_process_concurrent_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_plot_parallel_process_concurrent.py`

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      <div class="sphx-glr-thumbnail-title">Parallelization of a dot product with processes (concurrent.futures)</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="The benchmark looks into different ways to implement thresholding: every value of a vector supe...">

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  .. image:: /auto_examples/images/thumb/sphx_glr_plot_benchmark_filter_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_plot_benchmark_filter.py`

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      <div class="sphx-glr-thumbnail-title">Compares filtering implementations (numpy, cython)</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="numpy has a very fast implementation of the dot product. It is difficult to be better and very ...">

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  .. image:: /auto_examples/images/thumb/sphx_glr_plot_benchmark_dot_cython_omp_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_plot_benchmark_dot_cython_omp.py`

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      <div class="sphx-glr-thumbnail-title">Compares dot implementations (numpy, c++, sse, openmp)</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="numpy has a very fast implementation of the dot product. It is difficult to be better and very ...">

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  .. image:: /auto_examples/images/thumb/sphx_glr_plot_benchmark_dot_cython_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_plot_benchmark_dot_cython.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Compares dot implementations (numpy, cython, c++, sse)</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="numpy has a very fast implementation of matrix multiplication. There are many ways to be slower...">

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  .. image:: /auto_examples/images/thumb/sphx_glr_plot_benchmark_dot_mul_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_plot_benchmark_dot_mul.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Compares matrix multiplication implementations</div>
    </div>


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    </div>


.. toctree::
   :hidden:

   /auto_examples/plot_profile
   /auto_examples/plot_long_parallel_process_joblib
   /auto_examples/plot_benchmark_dot_mul_timeit
   /auto_examples/plot_benchmark_associative
   /auto_examples/plot_benchmark_dot
   /auto_examples/plot_parallel_process_concurrent
   /auto_examples/plot_benchmark_filter
   /auto_examples/plot_benchmark_dot_cython_omp
   /auto_examples/plot_benchmark_dot_cython
   /auto_examples/plot_benchmark_dot_mul


.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-gallery

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download all examples in Python source code: auto_examples_python.zip </auto_examples/auto_examples_python.zip>`

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip </auto_examples/auto_examples_jupyter.zip>`


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 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_